As per many historians and economists, the second half of the 18th century was one of the most crucial periods in human history as the inventions and developments in this period led to the start of the first Industrial Revolution. Also called Industry 1.0, the phase was characterized by transition from an agrarian, handicraft-based economy […]
Read more →
Industries are rapidly evolving from the era of computer automation (Industry 3.0) to a new phase—Industry 4.0. This shift introduces exciting technologies like the Internet of Things (IoT), artificial intelligence (AI), and big data analytics. These advancements allow businesses to collect and use real-time data, improving efficiency, productivity, and smarter decision-making.OSI PI is a crucial […]
Read more →
The current AI discourse in manufacturing often revolves around automation and the potential displacement of human workers. While these are valid concerns, focusing solely on them overshadows a significant, yet often overlooked, opportunity: leveraging AI to enhance human capabilities and optimize human-centric tasks.Humans still execute the majority of tasks in manufacturing environments, even in highly automated […]
Read more →
Join us ONLINE on September 10, 2024, for a deep dive into the intersection of sustainability and artificial intelligence at IIoT World’s Sustainability and Artificial Intelligence Day. This virtual event will feature live sessions that explore how AI is revolutionizing industrial practices to create a more sustainable future.Agenda9:00 am – 10:00 am (EDT) AI Innovations Driving the […]
Read more →
Infusing data services into product management technology gives the industry a new look through improved decision-making and product performance. Technology trends leading this evolution include generative artificial intelligence (GenAI), machine learning (ML), and automation. These technologies vastly improve the efficiency and effectiveness of any activity in any product’s lifecycle. The growth of data democratization empowers […]
Read more →
As the industrial sector navigates the complexities of digital transformation, September 2024 is set to be a pivotal month for Industrial IoT and ICS cybersecurity professionals. This month features a dynamic lineup of events highlighting the intersection of advanced technology and robust cybersecurity measures. These gatherings will provide valuable insights, innovative solutions, and networking opportunities, […]
Read more →
Artificial intelligence (AI) is transforming enterprise asset management (EAM) by enhancing efficiency, accuracy, and predictive capabilities across various processes. This article outlines six key ways AI can improve EAM, particularly through data collection, management, and asset monitoring.Data Collection and Management Optical Character Recognition (OCR): OCR technology allows AI to extract vital information from asset tags, […]
Read more →
Data integration is a critical component for realizing the full potential of the Industrial Internet of Things (IIoT) and Artificial Intelligence (AI) in industrial settings. By enabling the aggregation and analysis of data from various sources, data integration leads to more efficient processes, better decision-making, and a deeper understanding of operations. Here’s why data integration […]
Read more →
Green technology and artificial intelligence are converging into a practical operational toolkit for industrial organizations under pressure to reduce emissions, lower energy costs, and meet sustainability reporting obligations. At IIoT World, we track this convergence closely because the Industrial Internet of Things is the connective infrastructure that makes it possible: without the sensor networks, edge […]
Read more →
Artificial intelligence promises transformative gains for manufacturers, but deploying AI on the shop floor introduces risks that many organizations underestimate. IIoT World examines the most critical challenges facing industrial AI adoption: poor data quality that produces unreliable models, cybersecurity vulnerabilities introduced by connected systems, workforce displacement concerns, algorithmic bias in quality inspection, and the operational […]
Read more →
As artificial intelligence (AI) continues to revolutionize industries, leaders must prepare their organizations to harness AI’s potential for value generation. This involves not only adopting new technologies but also fostering a culture of innovation and continuous improvement. By focusing on specific areas, leaders can ensure their businesses are ready to leverage AI effectively.Start Small, Think […]
Read more →
Artificial intelligence (AI) and machine learning (ML) have been used interchangeably since the 1950s. Although they experienced a resurgence in the late 1990s and early 2000s, generative AI, specifically ChatGPT, didn’t become popular until 2022. In manufacturing, AI/ML has been used to collect and analyze data to identify trends, patterns, anomalies, and other important information. One example […]
Read more →